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1 | Author First | Author Last | author two | et al | title | year | subject | Pre-Post | survey | Measurement: Grade | Measurement Test Score | measurement scale | N | Effect Size | direction positive (if unusable es) | direction negative (if unusable es) | not significant | SE/SD | P-value | test type | test value | procedure | Effect Size Adv | N Adv | SD Adv | p-value adv | not significant adv | direction positive (if unusable es) adv. | direction negative (if unusable es) adv. | test adv | test type adv | notable covariates | introductory | Honors | notes dropout | Comment | need to get | not comparable | cited search complete | references completed | ||||||||
2 | Roger | Reid | A Note on the Environment as a Factor Affecting Student Performance in Principlesof Economics | 1983 | economics | 1 | 221 | -5.3 | 0.05 | t | 3.79 | regression? | 1 | 1 | 1 | |||||||||||||||||||||||||||||||||
3 | Baylock | Lacewell | Assessing Prerequisites as a measure of success in a principles of finance course | 2008 | Finance | 1 | 100 | 140 | -1.47 | 1 | t | 0.45 | OLS | delay, statistics prerequisites, econ prerequisites | questionable methodology. some very strange results | 1 | 1 | |||||||||||||||||||||||||||||||
4 | Baldwin | Howe | Secondary-Level Study of Accounting and Subsequent Performance in the First College Course | 1982 | Accounting | 1 | 1 | ? | 232 | -1.34 | 0.642 | f-ratio | 0.217 | ANCOVA | quantitative and verbal diagnostics test | 1 | 1 | don't know what final is out of | 1 | |||||||||||||||||||||||||||||
5 | Alcock | Cockcroft | 1 | Quantifying the advantage of secondary mathematics study for accounting and finance undergraduates | 2008 | Economics | 1 | 100 | 719 | -0.34 | 1 | F | 23.53 | OLS | mathematics, gap | this is micro | ||||||||||||||||||||||||||||||||
6 | Parker | THE EFFECT OF STUDENT CHARACTERISTICS ON ACHIEVEMENT IN INTRODUCTORY MICROECONOMICS IN SOUTH AFRICA | 2006 | Economics | 1 | 100 | 616 | -0.33 | 1.24 | OLS | 1 | 1 | ||||||||||||||||||||||||||||||||||||
7 | Parker | THE EFFECT OF STUDENT CHARACTERISTICS ON ACHIEVEMENT IN INTRODUCTORY MICROECONOMICS IN SOUTH AFRICA | 2006 | Economics | 1 | 100 | 501 | -0.13 | 0.48 | OLS | 1 | 1 | ||||||||||||||||||||||||||||||||||||
8 | Thompson | Zamboanga | Academic Aptitude and Prior Knowledge as Predictors of Student Achievement in Introduction to Psychology | 2004 | Psychology | 1 | 50 | 353 | 0.02 | regression | act | 1 | since controlling for prior knowledge and prior course would mean sample of students who took psych but did not learn, may exclude | 1 | 1 | |||||||||||||||||||||||||||||||||
9 | Parker | THE EFFECT OF STUDENT CHARACTERISTICS ON ACHIEVEMENT IN INTRODUCTORY MICROECONOMICS IN SOUTH AFRICA | 2006 | Economics | 1 | 100 | 813 | 0.05 | 0.32 | OLS | 1 | 1 | ||||||||||||||||||||||||||||||||||||
10 | Hardy | Zamboanga | 1 | Student background and course involvement among first-year college students in introduction to psychology: implications for course design and student achievement | 2003 | Psychology | 1 | 100 | 108 | 0.15 | 2.15 | path analysis, least liklihood estimation | prior GPA, ACT | 1 | might be out of 200, includes number of prior psych courses, but not sure of distribution | 1 | 1 | |||||||||||||||||||||||||||||||
11 | Tay | Students' Performance in Economics: Does the Norm Hold across Cultural and Institutional Settings? | 1994 | Economics | 1 | 0.365 | 0.069 | 0.95 | t-ratio | 5.28 | ordinal probit | strong homogeneity across classrooms, not sure if p-value is the confidence measure, recommend finding SD of grade distribution to covert effect size to point system | 1 | 1 | ||||||||||||||||||||||||||||||||||
12 | Brian | Alters | Counseling physics students: A research basis | 1995 | 1 | 4 | 0.39 | t-test | gives entire distribution, effect size is average difference, gives t statistic so maybe t-test, 45% of those without hs withdrew vs. 25% | 1 | 1 | |||||||||||||||||||||||||||||||||||||
13 | Gerald | Hart | Academic Background and Achievement in College Physics | 1993 | physics | 1 | 0.5 | 0.0001 | z | 5.408 | mann-whitney | math, sex | 1 | compares math hs grades, but no in hs comparison. math has similar effect size, also compares science to nonscience majors, similar effect size | 1 | 1 | ||||||||||||||||||||||||||||||||
14 | Parker | THE EFFECT OF STUDENT CHARACTERISTICS ON ACHIEVEMENT IN INTRODUCTORY MICROECONOMICS IN SOUTH AFRICA | 2006 | Economics | 1 | 100 | 190 | 0.55 | 1.42 | OLS | 1 | 1 | ||||||||||||||||||||||||||||||||||||
15 | Anderson | Dwayne | 1 | The Determinants of Success in University Introductory Economics Courses | 1994 | Economics | 1 | 100 | 3898 | 0.64 | 0.42 | regression | college year | actually less than 1 effect size, no p-value given | 1 | 1 | ||||||||||||||||||||||||||||||||
16 | Parker | THE EFFECT OF STUDENT CHARACTERISTICS ON ACHIEVEMENT IN INTRODUCTORY MICROECONOMICS IN SOUTH AFRICA | 2006 | Economics | 1 | 100 | 120 | 0.85 | 2.26 | 0.05 | t-test | OLS | course effort in hours, HS math exam score | 5 different universities, treating as 5 different studies. econ is hs exam score graded one to 10, treating average effect as indicator | 1 | 1 | ||||||||||||||||||||||||||||||||
17 | Rohde | Kavanagh | Performance in first year university accounting: Quantifying the advantage of secondary school accounting | 1996 | Accounting | 1 | 7 | 487 | 1 | 0 | ANOVA | austrailian grading system, not sure if comparable | 1 | |||||||||||||||||||||||||||||||||||
18 | Alcock | Cockcroft | 1 | Quantifying the advantage of secondary mathematics study for accounting and finance undergraduates | 2008 | Economics | 1 | 100 | 765 | 1.53 | 1 | F | 17.02 | OLS | this is macro | |||||||||||||||||||||||||||||||||
19 | Sadler | Tai | Success in Introductory College Physics: The Role of High School Preparation | 2001 | Physics | 1 | 100 | 1933 | 2.26 | 0.11 | 0.01 | regression | school type, race, prof gender, HS calculus, pedagogy, parents education | calculates ap and honors too | 1 | 1 | ||||||||||||||||||||||||||||||||
20 | Durden | Ellis | The Effects of Attendance on Student Learning in Principles of Economics | 1995 | Economics | 1 | 100 | 346 | 2.77 | 3.364 | 0.01 | t-test | regression | absences, SAT, GPA, race, fraternity, time studying, parent education | uses percentages in describing dependent variable in one part of paper | 1 | ||||||||||||||||||||||||||||||||
21 | myatt | waddel | An Approach to Testing the Effectiveness of the Teaching and Learning of Economics in High School | 1990 | economics | 1 | 100 | 928 | 3.402 | 0.01 | t | 4.4 | regression? | 1 | from same high school and same college course. in 1984 school adopts a more rigorous economics course that ends up decreasing scores by 5%. | 1 | 1 | |||||||||||||||||||||||||||||||
22 | Edwards | An Econometric Evaluation of Academic Development Programmes in Economics | 2000 | Economics | 100 | 396 | 3.85 | 1.31 | 0.01 | Robust Regression | disadvantaged high school | 1 | appears a number of students failed and were taking again | 1 | 1 | |||||||||||||||||||||||||||||||||
23 | Alcock | Cockcroft | 1 | Quantifying the advantage of secondary mathematics study for accounting and finance undergraduates | 2008 | Finance | 1 | 100 | 514 | 6.75 | 1 | 0.001 | F | 17.55 | OLS | 4.43 | 0.001 | 1 | 1 | mathematics, gap | finds negative effect of economics on accounting | |||||||||||||||||||||||||||
24 | Au | Sharma | Student performance and first-year physics: Does high school matter | 2007 | Physics | 50 | 54 | 4 | 0.421 | 1 | math | simpsons paradox concern, not sure if on 50 points, don't think authors interpreting their results correctly | 1 | 1 | ||||||||||||||||||||||||||||||||||
25 | Holden | Weeden | The experience factor in early programming education | 2004 | Computer Science | 1 | 4 | t-test | 0.13 | 0.05 | 1 | uses knowledge, not hs background, so only use adv scores. p-values given for two different advanced coures, so conservatively estimate at .05, though both lower. also treats W as F | 1 | 1 | ||||||||||||||||||||||||||||||||||
26 | myatt | waddel | An Approach to Testing the Effectiveness of the Teaching and Learning of Economics in High School | 1990 | economics | 1 | 1.34 | 93 | 1 | 0.4 | t-test | |||||||||||||||||||||||||||||||||||||
27 | myatt | waddel | An Approach to Testing the Effectiveness of the Teaching and Learning of Economics in High School | 1990 | economics | 1 | 3.76 | 138 | 1 | 1.1. | t-test | only math significant variable in advanced | ||||||||||||||||||||||||||||||||||||
28 | Brasfield | 1 | The Impact of High School Economics on the College Principles of Economics Course | 1993 | economics | ordered probit | look at table 5. | 1 | 1 | |||||||||||||||||||||||||||||||||||||||
29 | Gifford | 1986 | 1 | 1 | ||||||||||||||||||||||||||||||||||||||||||||
30 | Assessing the value of high school accounting for the college bound | 1 | 1 | 1 | ||||||||||||||||||||||||||||||||||||||||||||
31 | The effect of previous accounting study on student performance in the first college-level financial accounting course | Accounting | 1 | 1 | ||||||||||||||||||||||||||||||||||||||||||||
32 | Eskew | Faley | Some Determinants of Student Performance in the First College-Level Financial Accounting Course | 1988 | Accounting | 352 | 1 | unclear effect size | 1 | |||||||||||||||||||||||||||||||||||||||
33 | Schroeder | previous accounting education and college-level accounting exam performance | 1986 | Accounting | don't have access to 1986 of accounting education onine | 1 | 1 | |||||||||||||||||||||||||||||||||||||||||
34 | Ferdinand | Fong | Predicting success for introductory accounting students: some further Hong Kong evidence. | Accounting | step-wise regression | don't know measurement scale | 1 | |||||||||||||||||||||||||||||||||||||||||
35 | Bouillon | Factors that predict success in principles of accounting classes | Accounting | 1 | don't know measurement scale, bigger negative effect size than ACT score, roughly a third of principals course grade | 1 | ||||||||||||||||||||||||||||||||||||||||||
36 | Mitchell | High school accounting and student performance in the first level university accounting course: A UK study | Accounting | don't know measurement scale. mann-whitney tests finds not significant difference in students with or without high school of mathemtically qualified students | 1 | |||||||||||||||||||||||||||||||||||||||||||
37 | Holden | Weeden | The impact of prior experience in an information technology programming course sequence | 2003 | Computer Science | 1 | average | 1 | counts dropouts as "w" 's, in first class discrepency is between 1 to 2 points if zero students are dropped. whole grade level effect size in intro. shows negative and positive adv direction | 1 | 1 | 1 | ||||||||||||||||||||||||||||||||||||
38 | Byrne | Lyons | The effect of student attributes on success in programming | 2001 | Computer Science | 1 | average | look out for simpsons paradox with gender differences. large effect size | 1 | 1 | 1 | |||||||||||||||||||||||||||||||||||||
39 | Hagen | Markham | Does it help to have some programming experience before beginning a computing degree program? | 2000 | Computer Science | 1 | 1 | Anova | mixes prior knowledge and prior classes. little difference between HTML experience and more experience. Can't tell about high school | 1 | x | 1 | ||||||||||||||||||||||||||||||||||||
40 | Ventura | Ramamurthy | Wanted: CS1 students. no experience required | 2004 | Computer Science | 1 | 1 | t-test | experience, not classes. about 3 points for prior c++ | 1 | 1 | 1 | ||||||||||||||||||||||||||||||||||||
41 | Kruck | Lending | Predicting Academic Performance in an Introductory College-Level IS Course | 2003 | Information Systems | 1 | 1 | anova | .1 SD units improvement | 1 | 1 | |||||||||||||||||||||||||||||||||||||
42 | Malik | Lodewijks | Student Performance in a Large First Year Economics Subject: Which Variables are Significant? | 2010 | Economics | 1 | 1 | regression | delay | 1 | 1 | 1 | 1 | |||||||||||||||||||||||||||||||||||
43 | Wiedenbeck | Factors affecting the success of non-majors in learning to program | 2005 | Computer Science | 1 | path analysis | ||||||||||||||||||||||||||||||||||||||||||
44 | Bouillon | Factors that predict success in principles of accounting classes | Accounting | |||||||||||||||||||||||||||||||||||||||||||||
45 | Doran | Bouillon | Determinants of Student Performance in Accounting Principles I and II | 1991 | Accounting | 1 | 1 | model accouting for drop has negative in both semesters for high school bookkeeping. Without drop, negative in 2nd. No grade measure | ||||||||||||||||||||||||||||||||||||||||
46 | Moy Yin | Koh | Koh | The determinants of performance in an accountancy degree programme | 1998 | Accounting | 1 | negative effect progresses through all three terms. Not entirely sure its high school, but mentions GSE is a factor in placing students in commerce stream which is measure of prior knowledge | ||||||||||||||||||||||||||||||||||||||||
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